Open-source Large Language Models are Strong Zero-shot Query Likelihood
Models for Document Ranking

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

20 October 2023

Shengyao Zhuang

Guido Zuccon

Papers citing "Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking"

8 / 8 papers shown

Title
A Survey of Model Architectures in Information Retrieval Zhichao Xu Fengran Mo Zhiqi Huang Crystina Zhang Puxuan Yu Bei Wang Jimmy J. Lin Vivek Srikumar KELM 3DV 48 2 0 21 Feb 2025
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users Mengxuan Hu Hongyi Wu Zihan Guan Ronghang Zhu Dongliang Guo Daiqing Qi Sheng Li SILM 33 3 0 10 Oct 2024
SEGMENT+: Long Text Processing with Short-Context Language Models Wei Shi Shuang Li Kerun Yu Jinglei Chen Zujie Liang ... Feng Wei Bo Zheng Jiaqing Liang Jiangjie Chen Yanghua Xiao RALM VLM 57 2 0 09 Oct 2024
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers Shijie Chen Bernal Jiménez Gutiérrez Yu Su 29 4 0 03 Oct 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent Lin Wang Zhichao Wang Xiaoying Tang 29 1 0 17 Jun 2024
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 152 329 0 12 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 961 0 17 Apr 2021
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 214 607 0 13 Oct 2020